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Databricks vs Jedox comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
Jedox
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Business Performance Management (14th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 10.2%, up 9.0% compared to last year.
Jedox, on the other hand, focuses on Business Performance Management, holds 3.5% mindshare, down 5.0% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks10.2%
Snowflake14.9%
Teradata8.8%
Other66.1%
Cloud Data Warehouse
Business Performance Management Mindshare Distribution
ProductMindshare (%)
Jedox3.5%
Anaplan6.8%
Adaptive Insights5.0%
Other84.7%
Business Performance Management
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
Riyaz Halani - PeerSpot reviewer
Financial Controller at Zalando SE
Powerful BI tool for analyzing financial performance and stable performance
I would rate the scalability of Jedox a seven out of ten. There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself. So that's where the main improvements lie—making it easy for people to not depend on just technical finance teams. There are almost 50 to 60 users using Jedox in our organization.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Easy to use and requires minimal coding and customizations."
"Databricks is scalable, it operates three times faster than any of the other ecosystems which we have experimented on."
"Databricks is a unified solution that we can use for streaming, supporting open source languages that are cloud-agnostic and a lot of Python libraries that I can use very easily, while also letting me reuse my existing Excel or SQL knowledge and limiting the need to learn new things."
"Databricks' most valuable features are the workspace and notebooks, and its integration, interface, and documentation are also good."
"The simplicity of development is the most valuable feature."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"Of the available feature set, I like the Imageflow feature a lot."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"The Excel interface is designed to retrieve data from the database and send it back, which is a significant advantage."
"The EPM is the most valuable feature."
"The data entry point is most valuable. The way we can customize our report or do data entry is very good."
"The main strength of Jedox lies in mastering the navigation, especially the Excel add-in."
"The customer porting is the most valuable feature."
"We use the tool for performance management and planning."
"The ETL itself was pretty useful and it's integrated in the tenant itself. So the Olap service technology was impressive to me. In order to extract that and load it in the tube in the same tenant or the same tool that was something magnificent because I actually missed this in SEB. SEB requires another tool, and you have to integrate all the tools together. But for Jedox, it was in the one tool."
"We can configure and have complete freedom while creating solutions."
 

Cons

"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth."
"For a small workload, Databricks may not be worth the costs."
"The Databricks cluster can be improved."
"There is room for improvement in the documentation of processes and how it works."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"In the next release, I would like to see more optimization features."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"Visualization is something they need to improve. We have already told them about this, and they should be working on it."
"The solution needs to improve its support. The visualization in Microsoft BI is more modern and comfortable than Jedox's. I would expect something similar with the solution."
"It is also not that easy as an implementation piece. It takes time to convert the business requirement into the proper solutions in the tool, which is time-consuming."
"More emphasis is needed on the availability of the learning aspect of the solution. Because unless you take up their course that enables you to be an expert in creating the report, you must seek help."
"I think it's the design of the report because the design and the UI for the report is standard and lame. When you see a Jedox report, it doesn't seem like it's from today, because the technology is something from the last decade. The scalability needs improvement."
"There is not much training for Jedox."
"There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself."
"Jedox should improve the design and server issues."
 

Pricing and Cost Advice

"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."
"I would rate the tool’s pricing an eight out of ten."
"Databricks are not costly when compared with other solutions' prices."
"We're charged on what the data throughput is and also what the compute time is."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."
"The solution is a good value for batch processing and huge workloads."
"The pricing depends on the usage itself."
"If you are using SAP, then you will have to take an SAP Connector license. The license across the tool is paying for the people who are using it as an admin or as a normal user. They can work out those costs in a manner that can help. This can also be a point of improvement where they can work out the costing, and the developers have a specific licensing cost. The normal users, who are going to do probably data entry or just going to view the dashboard, can have a separate license cost."
"We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."
"Jedox was a bit cheaper compared to Calumo."
"The product’s pricing will not be suitable for setting up a small solution."
"The solution's pricing is specific to your requirements."
"Excellent value for money."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
6%
Comms Service Provider
12%
Computer Software Company
9%
Aerospace/Defense Firm
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise57
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise3
Large Enterprise4
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
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Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Jedox EPM
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
BP, Fiat, Carrefour, Continental, Allianz, Bacardi, McDonald’s, Netafim, Swiss Post, Telstra, Suzuki, Vodafone, University of Western Australia, Unilever
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